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» Using Data Mining to Estimate Missing Sensor Data
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PODS
2005
ACM
131views Database» more  PODS 2005»
16 years 6 months ago
Space efficient mining of multigraph streams
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Graham Cormode, S. Muthukrishnan
ECCV
2002
Springer
16 years 7 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
15 years 11 months ago
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tre...
Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Y...
ICDM
2008
IEEE
176views Data Mining» more  ICDM 2008»
16 years 19 days ago
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
We propose a new statistical approach to the problem of inlier-based outlier detection, i.e., finding outliers in the test set based on the training set consisting only of inlier...
Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi...
TSP
2008
103views more  TSP 2008»
15 years 6 months ago
Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...
Jun Fang, Hongbin Li